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Information centric services in Smart Cities
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“Further, it has been suggested that as ICT pervades urban environments, i.e., data sensing, data processing platforms, cloud and fog computing infrastructures, and wireless communication networks become more and more embedded throughout urban systems and domains as well as in citizens' objects, smart cities can become smarter as to improving sustainability and enhancing the quality of life of”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [106]
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Metadata
- Authors
- Piro, G., Cianci, I., Grieco, L. A., Boggia, G., & Camarda, P.
- Affiliations
- Polytechnic University of Bari (IT)
- Corresponding author
- Piro, G.
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 88
- Pages
- 169-188
- ISSN
- 0164-1212 (ISSN-L)
- OpenAlex
- W2094745488
- Cited by
- 349
- References
- 71
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 13 · 2023: 28 · 2022: 26 · 2021: 31 · 2020: 28 · 2019: 44 · 2018: 53 · 2017: 35 · 2016: 39 · 2015: 24 · 2014: 13
- FWCI
- 46.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Systems and Software (publishedVersion)
- Journal of Systems and Software
- Funders
- European Social Fund
- European Commission
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Topics
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Physical Sciences › Computer Science › Information Systems › Service-Oriented Architecture and Web Services
- Keywords
- smart cities, ubiquitous services, e-government, public administration, intelligent transportation systems, public safety, health services, urban planning, wireless technology, secure applications, administrative procedure, waste management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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